Algorithmic War: Everyday Geographies of the War on Terror

被引:181
作者
Amoore, Louise [1 ]
机构
[1] Univ Durham, Dept Geog, Durham, England
关键词
algorithm; risk; security; war on terror; data; BORDER; RISK;
D O I
10.1111/j.1467-8330.2008.00655.x
中图分类号
P9 [自然地理学]; K9 [地理];
学科分类号
0705 ; 070501 ;
摘要
Technologies that deploy algorithmic calculation are becoming ubiquitous to the homeland securitization of the war on terror. From the surveillance networks of the city subway to the biometric identifiers of new forms of border control, the possibility to identify "association rules" between people, places, objects and events has brought the logic of pre-emption into the most mundane and prosaic spaces. Yet, it is not the case that the turn to algorithmic calculation simply militarizes society, nor even that we are witnessing strictly a commercialization of security. Rather, algorithmic war is one form of Foucault's sense of a "continuation of war by other means", where the war-like architectures of self/other, here/there, safe/risky, normal/suspicious are played out in the politics of daily life. This paper explores the situated interplay of algorithmic practices across commercial, security, and military spheres, revealing the violent geographies that are concealed in the glossy techno-science of algorithmic calculation.
引用
收藏
页码:49 / 69
页数:21
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